Does Pre-Emptive Availability of PREDICT 2.1 Results Change Ordering Practices for Oncotype DX? A Multi-Center Prospective Cohort Study.

For early-stage hormone receptor (HR)-positive and HER2-negative breast cancer, tools to estimate treatment benefit include free and publicly available algorithms (e.g., PREDICT 2.1) and expensive molecular assays (e.g., Oncotype DX). There remains a need to identify patients who de-rive the most benefit from molecular assays and where this test may be of poor value. In this multicenter prospective cohort study, we evaluated whether use of PREDICT 2.1 would impact physician decision making. For the first 6 months of the study, data on physician use of both PREDICT 2.1 and Oncotype DX ordering were collected on all newly diagnosed patients eligible for molecular testing. After 6 months, an educational intervention was undertaken to see if providing physicians with PREDICT 2.1 results affects the frequency of Oncotype DX requests. A total of 602 patients across six cancer centers in Ontario, Canada were recruited between March 2020 and November 2021. Providing PREDICT 2.1 results and an educational intervention did not alter the ordering of an Oncotype DX. For patients with low clinical risk, either by clinico-pathologic features or by PREDICT 2.1, the probability of obtaining a high Oncotype DX recurrence score was substantially lower compared to patients with high-clinical-risk disease. The introduction of an educational intervention had no impact on molecular assay requests. However, routine ordering of molecular assays for patients with low-clinical-risk disease is of poor value.

Low RNA disruption during neoadjuvant chemotherapy predicts pathologic complete response absence in patients with breast cancer.

In previously reported retrospective studies, high tumor RNA disruption during neoadjuvant chemotherapy predicted for post-treatment pathologic complete response (pCR) and improved disease-free survival at definitive surgery for primary early breast cancer. The BREVITY (Breast Cancer Response Evaluation for Individualized Therapy) prospective clinical trial (NCT03524430) seeks to validate these prior findings. Here we report training set (Phase I) findings, including determination of RNA disruption index (RDI) cut points for outcome prediction in the subsequent validation set (Phase II; 454 patients). In 80 patients of the training set, maximum tumor RDI values for biopsies obtained during neoadjuvant chemotherapy were significantly higher in pCR responders than in patients without pCR post-treatment (P = .008). Moreover, maximum tumor RDI values ≤3.7 during treatment predicted for a lack of pCR at surgery (negative predictive value = 93.3%). These findings support the prospect that on-treatment tumor RNA disruption assessments may effectively predict post-surgery outcome, possibly permitting treatment optimization.

Remote, proactive, telephone based management of toxicity in outpatients during adjuvant or neoadjuvant chemotherapy for early stage breast cancer: pragmatic, cluster randomised trial.

OBJECTIVE: To evaluate the effectiveness of remote proactive management of toxicities during chemotherapy for early stage breast cancer. DESIGN: Pragmatic, cluster randomised trial. SETTING: 20 cancer centres in Ontario, Canada, allocated by covariate constrained randomisation to remote management of toxicities or routine care. PARTICIPANTS: All patients starting adjuvant or neoadjuvant chemotherapy for early stage breast cancer at each centre. 25 patients from each centre completed patient reported outcome questionnaires. INTERVENTIONS: Proactive, standardised, nurse led telephone management of common toxicities at two time points after each chemotherapy cycle. MAIN OUTCOME MEASURES: The primary outcome, cluster level mean number of visits to the emergency department or admissions to hospital per patient during the whole course of chemotherapy treatment, was evaluated with routinely available administrative healthcare data. Secondary patient reported outcomes included toxicity, self-efficacy, and quality of life. RESULTS: Baseline characteristics of participants were similar in the intervention (n=944) and control arms (n=1214); 22% were older than 65 years. Penetration (that is, the percentage of patients who received the intervention at each centre) was 50-86%. Mean number of visits to the emergency department or admissions to hospital per patient was 0.91 (standard deviation 0.28) in the intervention arm and 0.94 (0.40) in the control arm (P=0.94); 47% (1014 of 2158 patients) had at least one visit to the emergency department or a hospital admission during chemotherapy. Among 580 participants who completed the patient reported outcome questionnaires, at least one grade 3 toxicity was reported by 48% (134 of 278 patients) in the intervention arm and by 58% (163 of 283) in the control arm. No differences in self-efficacy, anxiety, or depression were found. Compared with baseline, the functional assessment of cancer therapy trial outcome index decreased by 6.1 and 9.0 points in the intervention and control participants, respectively. CONCLUSIONS: Proactive, telephone based management of toxicities during chemotherapy did not result in fewer visits to the emergency department or hospital admissions. With the rapid rise in remote care because of the covid-19 pandemic, identifying scalable strategies for remote management of patients during cancer treatment is particularly relevant. TRIAL REGISTRATION: ClinicalTrials.gov NCT02485678.

Creating a pragmatic trials program for breast cancer patients: Rethinking Clinical Trials (REaCT).

BACKGROUND: The proportion of breast cancer patients enrolled in clinical trials is falling. The Rethinking Clinical Trials (REaCT) program was developed to challenge some of the contemporary barriers responsible for this fall in accrual. In this article, we review the successes and challenges our program has faced. METHODS: The REaCT program was created to improve care and outcomes for cancer patients through surveys of patients and healthcare providers, systematic reviews, economic evaluations, and the performance of pragmatic randomized trials with patient-centered outcomes. Likely, the greatest difference to conventional trial methodologies has been our widespread use of the integrated consent model (ICM) incorporating oral consent. RESULTS: Between 2014 and 2018, the program has recruited over 2000 patients to 15 randomized studies at 11 Canadian cancer centers. The REaCT program has completed and published five patient surveys, six healthcare provider surveys, ten systematic reviews, performed four economic evaluations, opened 15 clinical trials comparing standard of care interventions (two surgical, two adjuvant chemotherapy, five adjuvant supportive care, one radiology, two vascular devices, two palliative supportive care, and one molecular diagnostics). Patient surveys have shown high levels of satisfaction with the ICM. CONCLUSION: The REaCT program was developed to tackle important practice questions that will better guide optimal practice and to increase the availability of pragmatic clinical trials. While many challenges remain, future strategies will involve including more study sites and efforts to integrate novel information technology strategies.

A multi-center pragmatic, randomized, feasibility trial comparing standard of care schedules of filgrastim administration for primary febrile neutropenia prophylaxis in early-stage breast cancer.

INTRODUCTION: The most effective duration of filgrastim as primary febrile neutropenia (FN) prophylaxis in early breast cancer (EBC) patients is unknown. Despite significant differences in cost and toxicity, no prospective trial has been performed to optimize practice. We assessed the feasibility of using a novel pragmatic trial model to compare the most commonly used schedules of filgrastim. METHODS: Early breast cancer patients receiving chemotherapy were randomized to 5, 7, or 10 days of filgrastim as primary FN prophylaxis. The trial methodology integrated broad eligibility criteria, simply defined endpoints, an integrated consent model incorporating oral consent, and web-based randomization in the clinic. Feasibility was reflected through a combination of primary endpoints including patient and physician engagement (if > 50% of appropriate patients approached agree to participate, and if > 50% of physicians approached patients for the study). Secondary endpoints included the first occurrence rates of FN, treatment-related hospital admission, or chemotherapy dose reductions/delays/discontinuation. RESULTS: From May 2015 to August 2016, 142/149 (95.3%) patients approached agreed to participate and were randomized. Seventeen of 24 (70.8%) medical oncologists approached and randomized patients. The 142 patients received a total of 495 cycles of chemotherapy. Aggregate incidences of a first event by patient were FN (8/142, 5.6%), treatment-related hospitalization (6/142, 4.2%), chemotherapy discontinuation (7/142, 4.9%), chemotherapy delays (5/142, 3.5%), and chemotherapy dose reduction (18/142, 12.7%). Overall, 31.7% (45/142) of patients and 9.0% (45/495) of chemotherapy cycles were associated with one of these first events. CONCLUSION: This study met its feasibility endpoints. This novel pragmatic trial approach offers a means of comparing standard of care treatments in a practical and cost-effective manner. The trial will now be expanded to compare rates of FN between the three filgrastim schedules. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02428114.

Molecular profiling of advanced solid tumors and patient outcomes with genotype-matched clinical trials: the Princess Margaret IMPACT/COMPACT trial.

BACKGROUND: The clinical utility of molecular profiling of tumor tissue to guide treatment of patients with advanced solid tumors is unknown. Our objectives were to evaluate the frequency of genomic alterations, clinical "actionability" of somatic variants, enrollment in mutation-targeted or other clinical trials, and outcome of molecular profiling for advanced solid tumor patients at the Princess Margaret Cancer Centre (PM). METHODS: Patients with advanced solid tumors aged ≥18 years, good performance status, and archival tumor tissue available were prospectively consented. DNA from archival formalin-fixed paraffin-embedded tumor tissue was tested using a MALDI-TOF MS hotspot panel or a targeted next generation sequencing (NGS) panel. Somatic variants were classified according to clinical actionability and an annotated report included in the electronic medical record. Oncologists were provided with summary tables of their patients' molecular profiling results and available mutation-specific clinical trials. Enrolment in genotype-matched versus genotype-unmatched clinical trials following release of profiling results and response by RECIST v1.1 criteria were evaluated. RESULTS: From March 2012 to July 2014, 1893 patients were enrolled and 1640 tested. After a median follow-up of 18 months, 245 patients (15 %) who were tested were subsequently treated on 277 therapeutic clinical trials, including 84 patients (5 %) on 89 genotype-matched trials. The overall response rate was higher in patients treated on genotype-matched trials (19 %) compared with genotype-unmatched trials (9 %; p < 0.026). In a multi-variable model, trial matching by genotype (p = 0.021) and female gender (p = 0.034) were the only factors associated with increased likelihood of treatment response. CONCLUSIONS: Few advanced solid tumor patients enrolled in a prospective institutional molecular profiling trial were treated subsequently on genotype-matched therapeutic trials. In this non-randomized comparison, genotype-enrichment of early phase clinical trials was associated with an increased objective tumor response rate. TRIAL REGISTRATION: NCT01505400 (date of registration 4 January 2012).

Randomised, phase II, placebo-controlled, trial of fulvestrant plus vandetanib in postmenopausal women with bone only or bone predominant, hormone-receptor-positive metastatic breast cancer (MBC): the OCOG ZAMBONEY study.

Biomarkers of bone turnover, including urine N-telopeptide (uNTx), have been used as surrogate measures of response to bone-targeted therapies. Vascular endothelial growth factor (VEGF) levels correlate with extent of bone metastases. We assessed whether vandetanib, an inhibitor of VEGF, epidermal growth factor receptor and RET signalling, improved uNTx response when added to fulvestrant (F) in breast cancer patients with bone metastases. Postmenopausal patients with bone predominant, hormone-receptor-positive metastatic breast cancer were randomised to F (500 mg IM days 1, 15, 29, then monthly) with either vandetanib (100 mg PO OD) (FV) or placebo (FP). The primary objective was uNTx response. Secondary objectives included PFS, OS, RECIST response, pain scores and toxicity. Sixty-one patients were allocated to FV and 68 to FP. Out of 127 analyzable patients, an uNTx response occurred in 66 % for FV and 54 % for FP (p = 0.21). No difference was detected between groups for PFS; HR = 0.95 (95 % CI 0.65-1.38) or OS HR = 0.69 (95 % CI 0.37-1.31). For the 62 patients with measurable disease, clinical benefit rates were 41 and 43 %, respectively (p = 0.47). Serious adverse events were similar, 3.3 % for FV versus 5.9 % for FP. Elevated baseline uNTx (>65 nM BCE/mmol Cr) was prognostic for PFS, HR = 1.55 (95 % CI 1.04-2.30) and for OS, HR = 2.32 (95 % CI 1.25-4.33). The addition of vandetanib to fulvestrant did not improve biomarker response, PFS or OS in patients with bone metastases. Baseline bone turnover was prognostic for PFS and OS.

Plasma amino acid profiles of breast cancer patients early in the trajectory of the disease differ from healthy comparison groups.

This study describes and compares fasting plasma amino acid profiles of breast cancer patients near the initiation of chemotherapy with those of healthy age- and body mass index-matched females (HM), as well as young healthy females (HY). Breast cancer patients had significantly greater glutamate and histidine concentrations and significantly lower threonine concentrations compared with HM and HY females independent of protein or caloric intake. These differences may be related to metabolic perturbations associated with the disease.

A comprehensive metabolic evaluation reveals impaired glucose metabolism and dyslipidemia in breast cancer patients early in the disease trajectory.

BACKGROUND & AIMS: Weight gain in breast cancer patients during treatment is prevalent; the metabolic implications of this weight gain are poorly understood. We aimed to characterize glucose metabolism in breast cancer patients near the initiation of chemotherapy. METHODS: Stage I-II breast cancer patients (n = 8) were evaluated near the initiation of chemotherapy and compared with a group of age- and body mass index-matched, as well as a group of young healthy, non-malignant females. Fasting blood samples (analyzed for lipids and cytokines) were taken and an oral glucose tolerance test was performed. Body composition, waist circumference, diet, cardiovascular fitness and muscle strength were evaluated. RESULTS: Breast cancer patients were abdominally obese (mean ± SD: 94.6 ± 14.0 cm), overweight (28.8 ± 6.0 kg/m(2)) and dyslipidemic (triacylglycerides: 1.84 ± 1.17 mM; high-density lipoprotein cholesterol: 1.08 ± 0.23 mM). Compared to non-malignant matched females, fasting glucose and insulin concentrations were similar but fasting c-peptide was greater in patients (2.6 ± 1.2 ng/mL vs. 1.9 ± 0.8 ng/mL, p = 0.005). Glucose was elevated to a greater extent in patients during the oral glucose tolerance test compared with all non-malignant females. During the glucose tolerance test, c-peptide, but not insulin, remained elevated in patients compared with all non-malignant females. No differences in body composition, serum cytokines, nutrition or exercise capacity between patients and matched, non-malignant females emerged. CONCLUSIONS: Breast cancer patients present with unhealthy metabolic features early in the disease trajectory. Future investigations need to examine the underlying mechanisms and the potential longitudinal changes following chemotherapy.